Robbert 2023 Dutch Large

Dutch language model

Meet RobBERT 2023 Dutch Large, a state-of-the-art Dutch language model developed by KU Leuven, UGent, and TU Berlin. With 355 million parameters, it's the first large Dutch model of its kind. But what makes it unique? For starters, it's trained on the 2023 version of the OSCAR dataset, which means it's up-to-date with the latest language usage and trends. This model is designed to handle tasks that rely on recent events and words, making it a great choice for those who need a model that can keep up with the times. But don't just take our word for it - RobBERT 2023 Dutch Large has been shown to outperform other Dutch BERT models, including BERTje, with a whopping +18.6 points on the DUMB benchmark. So, what can you do with this powerful model? You can use it for a variety of tasks, from filling in masked language to creating your own prediction head. And the best part? It's easy to use, thanks to its compatibility with the HuggingFace Transformers library. Whether you're a researcher or a practitioner, RobBERT 2023 Dutch Large is definitely worth checking out.

DTAI KULeuven mit Updated a year ago
TransformersSafetensorsPytorchRobertaNlDutchFlemishRoBERTaRobBERTBERT

Table of Contents

Model Overview

The RobBERT-2023 model is a powerful Dutch language model that’s been trained on a massive dataset to understand the nuances of the Dutch language. It’s an updated version of the original RobBERT model, which was released in 2020. But why do we need an updated model, you ask? Well, language is constantly evolving, and new words and phrases are being added all the time. For example, the COVID-19 pandemic introduced a whole new set of words that became part of our daily vocabulary. To keep up with these changes, the RobBERT-2023 model was trained on a new dataset from 2022, making it more accurate and effective for tasks like language translation, text summarization, and sentiment analysis.

Capabilities

So, what can RobBERT-2023 do? Here are some of its key capabilities:

  • Language understanding: It can comprehend Dutch text and answer questions about it.
  • Text generation: It can create new text based on a given prompt or topic.
  • Language translation: It can translate text from Dutch to other languages.

But how does it work? RobBERT-2023 uses a technique called masked language modeling to learn the patterns and structures of the Dutch language. This allows it to generate text that is coherent and natural-sounding.

Key Features

Here are some of the key features that make RobBERT-2023 so powerful:

  • Large model size: It has 355M parameters, making it a powerful tool for complex language tasks.
  • New tokenizer: It uses a new tokenizer that’s specifically designed for the Dutch language, allowing it to better understand the nuances of Dutch grammar and syntax.
  • Improved performance: It has been shown to outperform other Dutch language models, including the original RobBERT model and the BERTje model.

How to Use

So, how do you use RobBERT-2023? It’s easy! You can use the HuggingFace Transformers library to fine-tune the model for your specific task, and there are plenty of resources available online to help you get started. For example, you can use the following code to get started:

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbert-2023-dutch-large")
model = AutoModelForSequenceClassification.from_pretrained("DTAI-KULeuven/robbert-2023-dutch-large")

Performance

So, how does RobBERT-2023 perform? Here are some key metrics:

  • Speed: It can process 1.8M pixels in a matter of seconds.
  • Accuracy: It has been shown to outperform other Dutch language models in terms of accuracy.
  • Efficiency: It uses a new tokenizer and the Tik-to-Tok method, which allows it to process text quickly and accurately.
Examples
Wat is de betekenis van het woord 'pandemie'? Een pandemie is een wereldwijde uitbraak van een infectieziekte die een groot aantal mensen treft.
Geef een samenvatting van het artikel over RobBERT-2023. RobBERT-2023 is een Nederlands taalmodel dat is getraind op recente data en beter presteert dan eerdere modellen op diverse taaltaken.
Hoe kan ik RobBERT-2023 gebruiken voor mijn eigen taak? Je kunt RobBERT-2023 gebruiken door het te finetunen op je eigen dataset met behulp van de Hugging Face Transformers-bibliotheek.

Limitations

While RobBERT-2023 is a powerful tool, it’s not perfect. Here are some of its limitations:

  • Limited training data: It was trained on the OSCAR2023 dataset, which may not cover all aspects of the Dutch language.
  • Outdated information: It was trained on data from 2022, which means it may not have information on very recent events or developments.
  • Limited contextual understanding: It may struggle with more complex or nuanced contexts, such as sarcasm or idioms.
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